Gridded dataset for total water storage estimation in the Seine through transfer learning
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资源简介：
Deep Learning model inputs: static and dynamic spatiotemporal data layers related to groundwater dynamics, from both local and global sources. Deep Learning model output: monthly total water storage changes (dTWS) from the TSMP model over the Seine River Basin (2010–2020, monthly, 11 km, EPSG:4326). Produced within the STARS4Water project (EC grant 101059372) by transfer learning of a spatio-temporal transformer model from the Duero basin.
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Zenodo创建时间：
2026-08-18
